Market Supply Research Articles

A Comprehensive Analysis of Supply Chain Collaboration, Technological Upgrading, and Market Demand as a Framework for Increasing Competitiveness

A Comprehensive Analysis of Supply Chain Collaboration, Technological Upgrading, and Market Demand as a Framework for Increasing Competitiveness

Mobile payment, digital inclusive finance, and residents' consumption behavior research.

Based on the data of multiple Chinese household finance surveys, the interactive relationship between mobile payment, inclusive digital finance, and household consumption is discussed. It is found that mobile payment can directly and effectively improve household consumption, and the impact on hedonistic and developmental consumption is greater than survival consumption, which is conducive to upgrading household consumption. At the same time, mobile payment can indirectly promote basic and developmental consumer spending through digital inclusive financial mechanisms and weaken hedonistic consumer spending. The heterogeneity analysis found that the impact of mobile payment on household consumption was affected by income level, dependency structure, and regional attributes, and the low-income and high-income groups benefited more significantly, and the consumption promotion effect in the eastern and central regions was greater than that in the western and northeastern regions. Further research finds that with the improvement of income status, the promotion effect of mobile payment on consumption shows a marginal decreasing trend. It is recommended to continue to promote the popularization and application of mobile payment, accelerate the matching of supply and demand in the consumer market, formulate financial inclusion policies according to local conditions, and form a good interaction mechanism between mobile payment, digital finance, and household consumption.

An integrated AHP-TOPSIS approach for bamboo product evaluation and selection in rural communities

This study introduces a decision support model integrating the Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to select an economic tree product champion (bamboo) to benefit rural communities. An extensive literature review and expert discussions identified sixteen sub-criteria distributed across five main criteria. The study proposes four categories of bamboo products as alternatives, emphasizing community-level production capacity. The AHP determines priority weights, while TOPSIS prioritizes alternatives conducive to becoming the product champion within a community case study. The findings affirm the efficacy of Multi-Criteria Decision-Making (MCDM) in identifying a champion, with “Value addition potential,” “Domestic market demand,” and “International market (export) demand” identified as pivotal criteria. Bamboo culm-based products for energy-related applications emerged as the chosen product champion in a community case study in Thailand. This study offers practical implications for rural communities and potential investors in economic tree ventures, allowing the customization of decision criteria and alternatives for specific contexts. Socially, the focus on bamboo highlights diverse benefits along the entire supply chain, from upstream to downstream. The research pioneers a decision support model, providing insights into market opportunity analysis and supply chain network design based on the selected product champion.

The influence of business analytics on supply chain ambidexterity: the mediating role of market learning

Purpose The main purpose of this study is to assess the influence of business analytics (BA) on supply chain ambidexterity (SCA) and market learning (ML) in the context of Iran as a developing country. Design/methodology/approach The study population encompasses a range of key positions such as senior managers, supply chain managers, senior IT managers and senior marketing and marketing research managers in Iran. Through a survey, a questionnaire was designed to gather data from these individuals. The data collected from a total of 214 participants underwent rigorous analysis using structural equation modeling. Findings Findings revealed BA has a positive influence on SCA and ML. Furthermore, the study found that distinct facets of ML, namely, exploratory and exploitative learning, exerted a positive influence on SCA. Additionally, the investigation uncovered that the mechanisms of exploratory ML and exploitative ML play a partially mediating role in the relationship between BA and SCA. Research limitations/implications It is prudent to acknowledge that the study’s sampled entities were exclusively Iranian companies, potentially curtailing the extent of generalizability of our findings. Originality/value This research contributes valuable theoretical insights and practical implications to policymakers and top managers of organizations, particularly the surveyed organizations to formulate and implement an appropriate strategy to avail of BA techniques toward enhancing SCA. Also, this study provides significant insights into the determinants of SCA and demonstrates how organizations can leverage data analytics and ML to attain sustained growth and ambidexterity within the supply chain context.

Management policies regarding labor mobility by industry

This research study 341 articles from Web of Science, along with a co-citation analysis to reveal the theoretical underpinnings of research on management policies related to labor mobility across economic sectors and this topic trends in this area cover various aspects, including the impact of labor migration, such as wages, geography, labor market supply and demand in the specific region, property rights, and government policies related to managing labor migration across countries.

Research on the Protection of Labor Rights and Interests of Retirees' Re-employment

With the deepening of the development of China's aging society, the insufficient supply of the labor market has become increasingly apparent. The protection of the labor rights and interests of retirees in their re-employment can effectively respond to the strategic requirements of active aging, which is in line with the principle of respecting labor and opposing discrimination. Specific measures can be taken to clarify the labor subject status of the elderly retirees, improve the system of receiving and issuing pensions, clarify the composition of the labor remuneration of the retired re-employed personnel and protect it reasonably, establish a special labor safety system, and improve the protection of the labor rights and interests of the retired re-employed personnel with the collective protection of trade unions.

Incorporating the Illicit: Assessing the Market Supply of Shelf Companies

Incorporating the Illicit: Assessing the Market Supply of Shelf Companies

Energy Price Fluctuation and Real Estate Market Risk Prevention—Empirical Evidence at the Prefecture-Level City Level in China

Abstract The impact of energy price fluctuation on the macro economy is a hot issue that is continuously concerned by the academic community, but few literature have paid attention to the impact of energy price fluctuation on housing price and the financial risks that may arise. Based on the data of cities at and above the prefecture level in China, this paper empirically examines the impact of energy price fluctuation on the price fluctuation of the domestic real estate, and analyzes its influencing mechanism and transmission pathways. The results show that changes of energy price will significantly affect the fluctuation of domestic real estate price, and it is more obvious in large cities and megacities. Energy price affect the demand for housing through changes of interest rate levels on the one hand, and the supply of the real estate market through the cost of housing construction on the other hand, which leads to housing price fluctuation. After a series of robustness tests, the results are still valid. At the same time, the effect is asymmetric, that is, higher energy price increases the fluctuation of house price, but the impact of falling energy price is not significant. Therefore, when preventing real estate market risks, energy price should be considered as a forward-looking indicator to focus on, and the regulation and control policies of the real estate market should be scientifically formulated. This paper not only provides a new perspective on the mechanism of housing price formation, but also enriches the research on the interconnection between energy and financial markets.

Shift in house price estimates during COVID-19 reveals effect of crisis on collective speculation

We exploit a city-level panel comprised of individual house price estimates to estimate the impact of COVID-19 on both small and big real-estate markets in California USA. Descriptive analysis of spot house price estimates, including contemporaneous price uncertainty and 30-day price change for individual properties listed on the online real-estate platform Zillow.com, together facilitate quantifying both the excess valuation and valuation confidence attributable to this global socio-economic shock. Our quasi-experimental pre-/post-COVID-19 design spans several years around 2020 and leverages contemporaneous price estimates of rental properties – i.e., off-market real estate entering the habitation market, just not for purchase and hence free of speculation – as an appropriate counterfactual to properties listed for sale, which are subject to on-market speculation. Combining unit-level matching and multivariate difference-in-difference regression approaches, we obtain consistent estimates regarding the sign and magnitude of excess price growth observed after the pandemic onset. Specifically, our results indicate that properties listed for sale appreciated an additional 1% per month above what would be expected in the absence of the pandemic. This corresponds to an excess annual price growth of roughly 12.7 percentage points, which accounts for more than half of the actual annual price growth in 2021 observed across the studied regions. Simultaneously, uncertainty in price estimates decreased, signaling the irrational confidence characteristic of prior asset bubbles. We explore how these two trends are related to market size, local market supply and borrowing costs, which altogether lend support for the counterintuitive roles of uncertainty and interruptions in decision-making.

From oil surges to renewable shifts: Unveiling the dynamic impact of supply and demand shocks in global crude oil market on U.S. clean energy trends

Transitioning to renewable energies has become undeniably important in recent decades, especially for the United States. Oil price shocks are prominent determinants of renewable energy. Hence, this study examines the impacts of oil supply, aggregate demand, and oil-specific demand shocks on renewable energy consumption from 1973:01 to 2021:05 using Structural VAR and Time-Varying Parameter VAR models. Based on the results, oil supply shocks generally have a negligible effect on renewable energy, except those that originate from sharp changes in Saudi Arabian oil production and the U.S. recession-induced oil supply deficit. Aggregate demand shocks, such as those caused by the Persian Gulf War and the Asian financial crisis, negatively affect renewable energy by reducing investments and making oil more affordable. Conversely, oil-specific demand shocks, such as the 1979 Iranian Revolution and the 2008 financial crisis, initially reduce renewable energy attractiveness but ultimately lead to increased renewable energy consumption due to soaring oil prices. This study’s unique approach of separately examining global oil market shocks provides new insights, complementing and extending previous research on the relationship between oil prices and renewable energy consumption. Eventually, policy implications for strengthening incentive policies and adding punitive policies to seeking investment in renewable energy are proposed.

Use of reactive power compensation devices in implementation of distributed generation

In Ukraine, a gradual reduction of electricity production at thermal power plants is planned due to the development of renewable sources of electricity. Small hydraulic power plants are being restored, solar power plants and wind power plants are being built. This will allow solving the existing problems of the domestic energy industry regarding the shortage of fuel resources, energy security and reducing the level of harmful effects on the environment caused by the operation of traditional sources of electricity. There is a trend of transition from a purely centralized electricity supply to a combined one, when the number of local decentralized sources of electricity directly in distribution networks is increasing. In this way, distribution electric networks are gradually transformed into a network with features characteristic of a local electric system, which receives power both from its own distribution electric networks and from a centralized source - the electric power system. Renewable energy has a number of advantages compared to traditional energy, but there are also disadvantages. Among them, the complications of the functioning of electrical networks should be highlighted in the event of an increase in the capacities of renewable sources of electricity installed in them and the instability of generation due to their natural dependence on meteorological conditions, if we talk more specifically about technical shortcomings, then this concerns - sinusoidal of voltages and currents and voltage deviations, quality assurance of electricity, which directly depends on ensuring the balance of active and reactive power in the electrical system. Hence the need for coordinated power supply from renewable sources of electricity and substations of the power system. At the same time, there is a gradual transition from the wholesale electricity market of a single buyer to the balancing market of electricity and electricity supply under bilateral agreements, as well as the introduction of market management methods. This article discusses measures to reduce electrical energy losses, limit voltage deviation, improve the quality of electrical energy, and compensate for the reactive power of local loads due to the introduction of reactive power compensation devices together with renewable sources of electricity and facilitating their integration into the power grid.

Incorporating the Illicit: Assessing the Market Supply of Shelf Companies

Incorporating the Illicit: Assessing the Market Supply of Shelf Companies

Strategic Disclosure Incentives in a Multisegment Firm

ABSTRACT This paper presents a unifying model of disclosure in the presence of competitors and supply market reliance to examine the role of multisegment operations on disclosure choice. A firm’s private information can have varying demand implications for its own portfolio of segments and for its competitors’ portfolios of segments. In multisegment firms, cross-firm spillovers of information discourage disclosure whereas cross-segment spillovers encourage disclosure. This suggests multisegment firms with more informationally diverse segments will have more incentives for transparency. Further, in multisegment firms, reliance on an imperfect supply market has less detrimental effects on transparency compared to single-segment firms. Supply market reliance is less detrimental for multisegment firms with a more diverse portfolio of segments. The results suggest that multisegment firms have more incentives for transparency relative to single-segment firms. JEL Classifications: L11; L13; M41.

Deep Learning for Exchange Rate Prediction Within Time Constrain

The implementation of an open economic system in Indonesia since 1969 has significant impact to the national economic growth. The high demand and supply of goods from within the country involved in international trade demonstrate a close correlation between export and import activities with the exchange rate of the rupiah. Economic stability is measured through the stability of the rupiah exchange rate against foreign currencies. The balance between demand and supply in the global market is considered crucial for creating a stable economy. History has recorded the Indonesian economic crisis in 1998, where the exchange rate of the rupiah against the US dollar drastically raises and causing challenges to the domestic production cost. This research aiming to make predictions using data science approach based on historical (time series) data. GRU, LSTM, and RNN algorithm being assess to perform the prediction. Results show that RNN algorithms generally outperform GRU and LSTM in making the prediction, particularly with limited time series data. Although RNN is typically superior, in one instance, GRU achieved slightly higher accuracy (0.047% difference) for the CNY to IDR pair over five years. Furthermore, the research highlights the substantial impact of batch size on algorithm accuracy, considering external factors such as interest rates. These findings offer valuable insights for economic decision-making and policy formulation.

Research on dynamic pricing and coordination model of fresh produce supply chain based on differential game considering traceability goodwill

This study aims to solve the current pricing and coordination problems in the fresh produce supply chain by proposing a dynamic pricing and coordination differential game model based on traceability goodwill to optimize the operational efficiency and profitability of the supply chain. Freshness and traceability are critical consumer trust and brand value factors incorporated into the dynamic pricing and coordination model in the agricultural supply chain. The research methodology of this paper integrates critical factors such as supply chain cost and market demand to construct a comprehensive differential game model. It also highlights the motivation of dynamic pricing strategy and coordination mechanism based on traceability goodwill. Through traceability goodwill, operating companies can better assess and manage product quality and improve consumer trust in agricultural products, thus enhancing brand value. The dynamic pricing strategy based on traceability goodwill can flexibly adjust prices according to changes in the quality characteristics of agricultural products and market demand, realizing a dynamic balance between supply and demand. On the other hand, the mutual cost-sharing and coordination mechanism promotes the synergy between the various links of the supply chain. It improves overall efficiency through cooperation coo, coordination, and other means. The validity and reliability of the model are verified through numerical simulation experiments. The numerical simulation results show that the dynamic pricing and coordination model based on traceability will significantly improve supply chain efficiency and profitability compared with the traditional model. Specifically, the interests of supply chain participants are balanced, and the overall supply chain operational efficiency is improved. The main contribution of this study is to propose a dynamic pricing and coordination model based on traceability goodwill and verify its superiority through numerical simulation experiments. This study provides a valuable reference for fresh agricultural products supply chain management and offers new ideas for improving supply chain efficiency and profitability.

Indiana

This report about Indiana school funding relates to budgetary changes in the state’s school funding priorities and technical changes to its state aid to schools formula. Pressing issues that affect school funding as well as public policy dimensions of alternatives to traditional public schools are considered. The most pressing need for the schooling system that is mediated by the school funding program remains increasing the labor market supply of highly credentialed teachers. The most evident public policy trend is the continuing expansion of free market-based school choice options.

장년세대 노년생활 주거선택에 관한 연구

1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to find out what characteristics the elderly generation exhibits when choosing a residence to live in their old age after retirement. In other words, we tried to analyze what was an effective response strategy from the perspective of housing policy to minimize the mismatch between demand and supply in the housing market as well as housing stability by appropriately supplying the most preferred housing in the location they prefer. (2) RESEARCH METHOD As a tool for empirical analysis, frequency analysis was first conducted using the SPSS 26.0 statistical program, and response distribution and sample characteristics for all questionnaires were identified. Based on the evaluation data on the matters to be considered when choosing a place of residence after retirement, variables were classified through factor analysis and reliability analysis for each factor, and significant differences in the general characteristics of the sample were found and verified through chi-square analysis. (3) RESEARCH FINDINGS About 80% of the population of the elderly generation hope to move to the Gyeonggi-do area or the outskirts of Seoul within 5 years after retirement and live in a country house, apartment, or residential complex with an area of 20 to 30 pyeong(66~99㎡) or less. It was also found that they wanted to live independently around their children. There is a need for housing policies that respond to their needs to be quickly established in the short and long term. 2. RESULTS Analysis of what is an effective response strategy from the perspective of housing policy to minimize the mismatch between demand and supply in the housing market as well as stable housing for the elderly by appropriately supplying the most preferred housing in the location most preferred by the elderly. In addition, by analyzing housing preference according to general characteristics, the type of housing desired after retirement and the desired area were derived, and the residential area preferred and desired by the elderly generation was identified and presented as basic data for policy establishment.

KANO+QFD 모델을 기반으로 IoT 반려묘 음수기의 디지털 터미널 디자인 방향 제안

The pet supplies market is witnessing a gradual expansion, with a particularly notable increase in demand for intelligent IoT-based pet management products. In this context, consumer demands are shifting from mere interest to desires for experiences and emotional engagements. This study aims to address the prevalent issue in the current market where the majority of pet water dispensers focus solely on basic functionalities, neglecting deep user experience design. The research begins by constructing a user journey map to analyze the behavioral paths of users interacting with mobile and IoT water dispensers, thereby deriving user needs. Subsequently, a qualitative analysis based on the Kano model is conducted to determine the priorities of user satisfaction and requirements, and a Quality Function Deployment(QFD) chart is developed to analyze and quantify the importance of design requirements. The findings indicate that the importance weights of water intake statistics design requirements and water quality monitoring feedback design requirements are the highest, becoming key design considerations in the digital end-to-end system design process. Therefore, this study proposes a design direction for the IoT smart drinking system platform through the combined application of the Kano and QFD models, offering guidance on the remote user end system design for IoT pet water dispensers from a user needs perspective.

Decentralized energy trading framework with personalized pricing for energy community embedded with shared energy storage

Decentralized energy trading techniques are promising to become the next-generation scheme for energy management with the transformation of energy systems. Influenced by the sharing economy principle, the deployment of shared energy storage (SES) can mitigate the investment of storage devices and facilitate the construction of decentralized energy trading. Under such circumstances, this paper proposes a comprehensive energy trading framework for the energy community constituted of SES, prosumers, and retail energy providers. A Stackelberg game method is utilized to depict the interactions between prosumers and SES, where SES is performed as a leader and prosumers are followers. Besides, prosumers participate in the market to optimize social welfare via peer-to-peer (P2P) energy sharing with other prosumers or energy trading with SES and the main grid. We prove the existence and the uniqueness of the Stackelberg equilibrium (SE). Considering the supply and demand ratio and market contribution, a personalized pricing approach is presented for prosumers and SES to promote market competitiveness. We leverage the fully decentralized algorithm based on the fast alternating direction method of multiplier (ADMM) to solve the model of prosumers. Finally, numerical simulation demonstrates that the proposed transactive framework is economically beneficial for all participants, including SES and prosumers.

Toward a circular supply chain: The enabling role of information and financial flows in open and closed loop designs

Paramount to the transition to the circular economy is the transformation of existing supply chains. We build on the theory of the supply chain to study circular design features and the enabling role of information and financial flows needed for circularity. We study five exemplars for environmental leadership to illuminate how material flows are enabled by information and financial flows to leverage cross-industry waste flows (i.e., open loops) and customer returns (i.e., closed loops). While both open and closed loop designs can lead to a bottom-up transition towards the circular economy, there are differences in the enabling role played by outward and inward information flows. Further, we unpack the supporting role of inward and outward financial flows toward customers, suppliers and non-supply chain stakeholders for creating a viable supply and demand circular market and a wider community in which circular supply chain can be embedded.